Publications per year
Publications per year
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Dive into the research topics where Christian Böhm is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Publications
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SHADE: Deep Density-based Clustering
Beer, A., Weber, P., Miklautz, L., Leiber, C., Durani, W., Böhm, C. & Claudia, P., 1 Dec 2024, IEEE International Conference on Data Mining (ICDM) 2024.Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
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Synchronization-Inspired Interpretable Neural Networks
Han, W., Qin, Z., Liu, J., Böhm, C. & Shao, J., 2024, In: IEEE transactions on neural networks and learning systems. 35, 11, p. 16762-16774 13 p.Publications: Contribution to journal › Article › Peer Reviewed
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Adversarial Anomaly Detection using Gaussian Priors and Nonlinear Anomaly Scores
Lüer, F., Weber, T., Dolgich, M. & Böhm, C., 1 Dec 2023, IEEE International Conference on Data Mining (2023).Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
Activities
- 1 Talk or oral contribution
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Application of Deep Clustering Algorithms
Collin Leiber (Speaker), Lukas Miklautz (Speaker), Claudia Plant (Speaker) & Christian Böhm (Speaker)
21 Oct 2023Activity: Talks and presentations › Talk or oral contribution › Science to Science